Chief Analytics Office - Control Management - Vice President
On-siteSingapore, Singapore
Job Summary
Ensure key controls in AI/ML Analytics Standards are accurately reflected in CAO APAC CORE content while maintaining strong platform knowledge. Partner with APAC CAO/CDAO stakeholders to strengthen risk identification, support control testing execution, and manage issues for control gaps. Support completion of regulatory assessments, coordinate inputs across Business and Control partners, and track actions to closure. Develop and maintain control management framework documentation in partnership with stakeholders for AI/ML activities. Contribute to the APAC Control Manager community of practice to drive consistency on standards updates and common controls. Review reporting metrics to identify emerging risks and collaborate on metric design for early risk detection. Prepare materials for regulatory queries, exams, and meetings while coordinating responses with appropriate stakeholders. Partner with Line of Defence stakeholders to support a well-managed control environment and readiness for testing and audits.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Data and Information Architecture, or a related field
- At least 8 years experience with AI/ML risk management practices, including risks related to model techniques, Generative AI, agentic workflows, and AI/ML development lifecycle controls
- Financial services experience in controls, information security, audit, quality assurance, risk management, or compliance; strong understanding of the three lines of defence model
- Solid understanding of Compliance and Operational Risk Management frameworks, including risk assessment and controls oversight concepts
- Sound judgment in risk assessment, work prioritization, stakeholder engagement, and change management
- Demonstrated ability to lead/work across cross-functional initiatives to analyze issues, design improvements, and implement best practices (with appropriate VP-level supervision/escalation)
- Strong analytical and problem-solving skills; ability to synthesize complex information and produce clear, actionable outputs
- Strong written and verbal communication skills; able to explain business issues, risks, and controls clearly to diverse stakeholders
Desired Qualifications
- Business acumen and familiarity with relevant regulations and supervisory expectations related to analytics/AI risk and governance
- Professional certifications (e.g., CISSP, CCSP, AWS or similar) are desirable
- Strong collaboration and relationship-building skills; ability to influence with an end-to-end mindset and operate effectively in a matrixed organization
- Self-motivated, able to work autonomously, adaptable to shifting priorities, and comfortable managing competing demands
- Comfort with ambiguity; ability to make informed decisions, document rationale, and escalate appropriately
- Proficiency in Microsoft Office (Word, Excel, PowerPoint); ability to develop clear stakeholder updates and senior-ready materials
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